Atlas confronts data silos by integrating disjointed data sources, both structured and unstructured, and enabling a seamless collaboration across departments. This allows for a more holistic information view, crucial for businesses with strategic decision-making and operational efficiency.

Atlas is a sophisticated, end-to-end data management platform that consolidates and processes data from multiple sources, providing a unified, accessible data framework. This centralized system is engineered to handle large volumes of diverse data, ensuring accuracy and consistency across the business’s data landscape. Watch this video for more details:

Yes, Atlas is network-agnostic and compatible with both cloud and on-prem configurations. It works seamlessly with major hosting providers, offering flexibility in choosing the ideal environment.

Atlas is designed with an intuitive interface, suitable for business users. It empowers non-technical users to effectively access and utilize data, reducing dependency on IT teams.

Yes, it includes data transformation (CTE Script with SQL Designer), pivot, auto-update scheduling (daily, weekly, monthly), and features for collaboration like data sharing.

With Atlas, data is highly available and centralized. This eliminates the need to search for data across different platforms, as all relevant data is accessible in one place, ensuring ease of access and efficiency in data retrieval.

Atlas serves as a comprehensive data repository, establishing a single authoritative source for all business data. This centralization ensures data consistency and eliminates data silos, enhancing data integrity across the business.

Yes, Atlas is adept at integrating with a wide array of data sources. Whether it's different database management systems, APIs, CSV files, or documents, Atlas supports them all, streamlining the collection and organization of data from these diverse inputs. Supported Databases: MSSQL, MySQL, PostgreSQL, Oracle, SQLite and more. Supported Data Warehouses: MongoDB, Azure Synapse, Snowflake, RedShift, CosmoDB, and on-premise architecture in Apache environment. Supported Shared Drives: Sharepoint, OneDrive, Google Drive and more. Supported File Types: CSV, Excel and more. API Integration: BigQueryAPI, Azure storage, S3, GetResponse, Hubspot, MailChimp and more.

Atlas offers robust ETL (Extract, Transform, Load) capabilities, which simplify data manipulation, cleansing, and enrichment. Its intuitive interface allows for efficient handling of these processes.

Atlas provides granular access control, allowing businesses to define who can access specific data. This ensures data security and simplifies compliance with various regulations. Atlas includes data ownership, stewardship, metadata management, categorization, access controls, documentation, and auditing, and supports SSO login with Microsoft Azure, Active Directory, and Google Workspace.

Atlas protects sensitive data through column-level data masking. This means only authorized personnel can view and access such information, enhancing data privacy and security.

Data entitlements in Atlas can be defined based on roles and responsibilities. This streamlines and improves data access across teams, ensuring that employees have the appropriate level of access to the data they need.

Yes, Atlas supports secure data sharing within and outside the business. This promotes collaboration while maintaining strict governance protocols, ensuring data is shared responsibly and securely.

With AI integration, Atlas suggests optimal visuals based on specific user needs. This ensures more effective and engaging data presentation, resulting in clearer, more impactful data-driven insights.

Atlas, integrated with BI tools, transforms raw data into actionable insights. It facilitates seamless export for analysis, reporting, and visualization, enabling data-driven decision-making.

Yes, Atlas seamlessly integrates with popular BI tools like SAP, PowerBI and QlikSense, maintaining a smooth workflow without disruption, thereby enhancing the existing data analysis and reporting processes.

Atlas includes powerful built-in Business Intelligence tools. Users can create interactive reports using drag-and-drop simplicity, choose from various chart options, and effortlessly drill down into dynamic data, all from an intuitive interface. Atlas offers user experience with drag-and-drop, built-in and custom visuals for versatile reporting, and customization options for visuals. It supports over 10 chart types, collaborative dashboards, report sharing, and dashboard sharing. Watch this video for more info:

Atlas excels in automating routine tasks, thereby reducing manual effort and accelerating data-related workflows. It leverages Robotic Process Automation (RPA) to turn mundane tasks into efficient, streamlined processes.

Yes, Atlas can perform various actions based on user instructions. This includes automating data processes and generating data transformation scripts, enhancing efficiency and workflow automation.

Atlas features natural language comprehension, making data interaction intuitive. It can answer questions and provide insights in plain language, supporting multiple languages for broader accessibility.

Atlas is equipped with the ability to intelligently recognize real-world objects, including images and sounds. This expands the scope of data management, enabling more comprehensive data analysis and interaction.